Anil Kumar Yadav

Optimal Speed Control of Hybrid Electric Vehicles

The main objective of this paper is to control the speed of Nonlinear Hybrid Electric Vehicle (HEV) by controlling the throttle position. Various control techniques such as well known Proportional-Integral-Derivative (PID) controller in conjunction with state feedback controller (SFC) such as Pole Placement Technique (PPT), Observer Based Controller (OBC) and Linear Quadratic Regulator (LQR) Controller are designed. Some Intelligent control techniques e.g. fuzzy logic PD, Fuzzy logic PI along with Adaptive Controller such as Self Organizing Controller (SOC) is also designed. The design objective in this research paper is to provide smooth throttle movement, zero steady-state speed error, and to maintain a Selected Vehicle (SV) speed. A comparative study is carried out in order to identify the superiority of optimal control technique so as to get improved fuel economy, reduced pollution, improved driving safety and reduced manufacturing costs.

Comparative analysis of various control techniques for inverted pendulum

In this paper conventional proportional-integral-derivative (PID) controller and different type of fuzzy logic controllers are used for controlling the inverted pendulum. The fuzzy logic controller is designed in various forms in the Matlab-Simulink environment with Mamdani type fuzzy inference system. The Inverted Pendulum system (also called “cart-pole system”) is a classic example of a nonlinear and unstable control system. By controlling the force applied to the cart in the horizontal direction, the inverted pendulum can be kept in various unstable equilibrium positions. Fuzzy control in association with PID control is found better amongst the fuzzy PD and fuzzy PD+I control.

Intelligent modified internal model control for speed control of nonlinear uncertain heavy duty vehicles.

The objective of this paper is to control the speed of heavy duty vehicle (HDV) through angular position of throttle valve. Modified internal model control (IMC) schemes with fuzzy supervisor as an adaptive tuning are proposed to control the speed of HDV. Internal model (IM) plays a key role in design of various IMC structures with robust and adaptive features. The motivation to design an IM is to produce nearly stable performance as of the system itself. Clustering algorithm and Hankel approximation based model order reduction techniques are used for the design of suitable IM. The time domain performance specifications such as overshoot, settling time, rise time and integral error performance indices such as the integral of the absolute error and the integral of the square of error are taken into consideration for performance analysis of HDV for various uncertainties.

Comparative analysis of modern control and AI-based control for maintaining constant ambient temperature

The objective of this paper is to study various control techniques in order to maintain constant ambient temperature by controlling the position of gas solenoid valve and expansion valve that control the volume of gas flow to the burner and volume of cool air flow into the room. In order to control the room temperature conventional P, PI, PID, model reference control (MRC), fuzzy logic control (FLC) and internal model control (IMC) are designed and implemented. The comparative study of these controllers is presented in order to identify the suitable controller.

Generalized approach for GA based learning of FLC design parameters

This paper aims at the Genetic Algorithm (GAs) based tuning of fuzzy logic controller (FLC). A two-step approach is proposed to tune a fuzzy logic controller using genetic algorithm. Moreover, it has been tried to develop a stepwise method to tune a fuzzy logic controller with GA in less number of generations. Special attention has been given to the learning of knowledge base which can be used for the elimination of premise variable or the whole rule from the rule base.

Investigation of robust stability analysis for interval system

The main objective of the present work is to investigate the robustness of the interval system. In this paper robust stability analysis of closed loop system is presented using simplified conditions of Arguons theorem which is comparatively efficient and expeditious than that by Kharitonovs theorem. Here it has been shown that even if the closed loop pole lies in the left half of s-plane the system may exhibit unstable response under perturbed condition.